KUNGFU.AI co-founder and CTO Ron Green explains why the biggest enterprise AI wins come from your own proprietary data, and shares a four-stage process for getting AI projects right.
Amplitude Field CTO Ted Sfikas explains why consumers will take control of their data, why first-party audiences trade reach for precision, and why trust is the real foundation of data-driven marketing.
Fern Halper, Founder of AI Foundations Group and VP of Research at TDWI, explains why most AI failures start in the data path, and what a real data foundation, unstructured data strategy, and governance model look like.
Ana Mourão of Stanley Black & Decker breaks down first-, second-, and third-party data, why owning your data strategy matters for AI, and how clean rooms help marketers turn first-party data into a growth loop.
IgniteTech CEO Eric Vaughan explains how his company’s AI-first transformation replaced 80% of its global team, and why it led to nearly $3M revenue per employee, 75% EBITDA, and two new products in a single year.
Eli Goodman, Co-founder and CEO of Datos, a Semrush Company, breaks down why bot-based data misreads human intent, the hidden costs of bad data, and why data quality always comes back to people.
Sotira CEO Amrita Bhasin explains how AI agents are leapfrogging an old-school supply chain, and how brands can monetize unsold inventory instead of destroying it.
Jordan Smith, founder of mymodel, explains why cookie data is only 47% accurate and how a consent-first, pay-for-data marketplace could replace it.
Neil Sahota, CEO of ACSILabs and UN AI Advisor, explains why data hoarding creates drag instead of value, and why synthetic data is becoming the next major IP battleground.
Alkemi co-founder Connor Folley explains why most companies’ AI struggles come down to fragmented data and locked-down access, not data volume, and what that means for the future of data analysts.
